Event Scenario Projection (ESP) Tool: Improve Efficiency and Minimize Errors in Distributed Simulation Training Events by Applying Analysis of Past Event Monitor and Test Data to the Event Planning Phase

摘要

The concept of the proposed Event & Scenario Projection (ESP) tool is to provide "real time" guidance during the planning phase of distributed simulation training and exercise events. The areas where guidance can be provided to the event developer are: in the allocation and distribution of scenario entities to specific participating simulation facilities and simulation models; in the allocation and configuration of the network resources; and in the estimation of the mean, average, maximum theoretical, and instantaneous peak network performance parameters. By analyzing the collected data from past events, a cause-effect relationship can be determined using statistical, stochastic, empirical modeling and/or neural network techniques. This cause-effect relationship may then be used during the event development process to proactively configure the architecture to provide for increased simulation efficiency, optimized network performance and to minimize or eliminate potential problems during the training event. Simulation protocol, event control, network performance and monitor/test data collected during previous distributed simulation training, exercise or test events would be used to train the neural network, define the constants in an empirical equation based model, and/or determine statistical parameters. The ESP tool can also be utilized to analyze previously run training events before they are re-executed. This is particularly useful if "fair fight" issues arose during the event or when run-time/post event analysis indicates excessive latency, dropped data or other troubling simulation issues.